Evidence map›Paper›PMID 30850895›Full record

ArticlePharmaceutical research2019

A Comprehensive Physicochemical, In Vitro and Molecular Characterization of Letrozole Incorporated Chitosan-Lipid Nanocomplex.

Abbas Hemati Azandaryani, Soheila Kashanian, Mohsen Shahlaei, Katayoun Derakhshandeh, Marjan Motiei, Sajad Moradi

Abstract read
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Article in Pharmaceutical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Abbas Hemati AzandaryaniNano Drug Delivery Research Center, Kermanshah University of Medical Sciences, Kermanshah, 6734667149, Iran.
Soheila KashanianNano Drug Delivery Research Center, Kermanshah University of Medical Sciences, Kermanshah, 6734667149, Iran. Kashanian_s@yahoo.com.
Mohsen ShahlaeiNano Drug Delivery Research Center, Kermanshah University of Medical Sciences, Kermanshah, 6734667149, Iran.
Katayoun DerakhshandehDepartment of Pharmaceutics, Faculty of Pharmacy, Hamedan University of Medical Sciences, Hamedan, 6517838678, Iran.
Marjan MotieiCentre of Polymer Systems, Tomas Bata University in Zlin, Tr. Tomase Bati 5678, 760 01, Zlín, Czech Republic.
Sajad MoradiNano Drug Delivery Research Center, Kermanshah University of Medical Sciences, Kermanshah, 6734667149, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study is to show a new mesomicroscopic insight into Letrozole (LTZ) loaded nanocomplexes and their ex vivo characteristics as a drug delivery system.

methodsThe LTZ loaded hybrid chitosan-based carrier was fabricated using a modified ionic crosslinking technique and characterized in more detail. To understand the mechanism of LTZ action encapsulated in the hybrid polymer-lipid carrier, all-atom molecular dynamics simulations were also used.

resultsThe physicochemical properties of the carrier demonstrated the uniform morphology, but different drug loading ratios. In vitro cytotoxic activity of the optimized carrier demonstrated IC

conclusionsThe hybrid nanoparticle increased the cytotoxicity and tissue permeability of LTZ for oral delivery. This study also confirmed the atomic mesostructures and interaction of LTZ in the core of hybrid polymer-lipid nanoparticles.

Indexed as

AnimalsCell Line, TumorChitosanDrug CarriersDrug Delivery SystemsHumansHydrophobic and Hydrophilic InteractionsLetrozoleLipidsMaleMCF-7 CellsMolecular Dynamics SimulationNanoparticlesParticle SizePC12 CellsPolymersChitosanDrug CarriersLetrozoleLipidsPolymerschitosan-lipid nanocomplexletrozolemolecular dynamicsPLN, aromatase inhibitor, non-everted sac study

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.